Who Cited It

Grandmaster level in StarCraft II using multi-agent reinforcement learning

2019 · Nature · 3,508 citations · 4 from inside this corpus

Oriol Vinyals, I. Babuschkin, Wojciech Marian Czarnecki, Michaël Mathieu low, Andrew Dudzik low, Jun‐Young Chung, David Choi, Richard Powell, Timo Ewalds, Petko Georgiev low, Junhyuk Oh, Dan Horgan, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai low, John Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets low, Rémi Leblond low, Tobias Pohlen low, Valentin Dalibard, David Budden, Yury Sulsky low, James Molloy, Tom Le Paine low, Çağlar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu low, Roman Ring low, Dani Yogatama, Dario Wünsch, Katrina McKinney low, Oliver Smith, Tom Schaul, Timothy Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps low, David Silver

No abstract in the source record.

Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019)Grandmaster level in StarCraf…Long Short-Term Memory (1997)Long Short-Term MemoryReinforcement Learning: An Introduction (1998)Reinforcement Learning: An In…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Recurrent neural network based language model (2010)Recurrent neural network base…Learning to Predict by the Methods of Temporal Differences (1988)Learning to Predict by the Me…A general reinforcement learning algorithm that masters chess, shogi, and Go through self… (2018)A general reinforcement learn…Asynchronous Methods for Deep Reinforcement Learning (2016)Asynchronous Methods for Deep…Generative Agents: Interactive Simulacra of Human Behavior (2023)Generative Agents: Interactiv…Secure, privacy-preserving and federated machine learning in medical imaging (2020)Secure, privacy-preserving an…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …Mastering Atari, Go, chess and shogi by planning with a learned modelMastering Atari, Go, chess an…
12 of 12 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Reinforcement Learning: An Introduction199827,409
Reinforcement Learning: An Introduction200525,758
Mastering the game of Go with deep neural networks and tree search201616,014
Recurrent neural network based language model20105,432
Learning to Predict by the Methods of Temporal Differences19883,970
A general reinforcement learning algorithm that masters chess, shogi, and Go through self…20183,611
Asynchronous Methods for Deep Reinforcement Learning20161,689

What cites it, inside the corpus

PaperYearCited
Generative Agents: Interactive Simulacra of Human Behavior20231,780
Secure, privacy-preserving and federated machine learning in medical imaging20201,454
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444
Mastering Atari, Go, chess and shogi by planning with a learned model1,374

Links

DOI · OpenAlex record

Topics

Artificial Intelligence in GamesComputer Science
Digital Games and MediaSocial Sciences
Gambling Behavior and TreatmentsPsychology

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports41 author record(s) attached.
  • supports60 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…